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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

INTELLIGENT AUTOMATED DATA ANALYSIS SYSTEM USING GENERATIVE AI FOR INSIGHT GENERATION

Nuthangi Yasaswini

K Naresh

Department of MCA, Annamacharya Institute of Technology and Sciences, Tirupati, Andhra Pradesh, India.

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

The necessity for effective data analysis tools that may yield significant insights with little human interaction has grown due to the quick expansion of data across numerous disciplines. In order to streamline the process of analyzing data, this study proposes an intelligent automated data analysis system that combines conventional data analytics methods with generative artificial intelligence. The suggested solution enables users to submit datasets in a variety of formats, including CSV and Excel, and uses a Generative AI model to automatically carry out preprocessing, statistical analysis, and visualization in addition to producing analytical insights that like those of a human.

How to Cite this Paper

Yasaswini, N. (2026). Intelligent Automated Data Analysis System using Generative AI for Insight Generation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.076

Yasaswini, Nuthangi. "Intelligent Automated Data Analysis System using Generative AI for Insight Generation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.076.

Yasaswini, Nuthangi. "Intelligent Automated Data Analysis System using Generative AI for Insight Generation." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.076.

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References

[1] Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Long Beach, CA, USA, 2017, pp. 5998–6008, A. Vaswani et al., "Attention Is All You Need."
[2] T. Brown et al., "Language Models are Few-Shot Learners," Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Virtual, 2020, pp. 1877–1901.
[3] Data Analysis in the Era of Generative AI, J. P. Inala, C. Wang, A. Upadhyay, and D. S. Weld, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Honolulu, HI, USA, 2024.
[4] "Understanding Generative AI-Assisted Data Analysis Workflows," arXiv preprint arXiv:2407.02903, 2024, I. Drosos, A. G. Forbes, and M. Tory.
[5] M. J. Buehler, "Generative Knowledge Extraction: Principles and Applications," arXiv preprint arXiv:2403.11996,2024.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 06 2026
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